PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-07 10:17:45.430054+00:00 (UTC)
In US/Central Time, this is 2024-03-07 04:17:45.430054-06:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/6d67901641a824044cbac3e7b87189e15f77fe9aed2e37377def8a297e13a0cc.png
We are just generating a random time serie here.
../../_images/d068cbeecbcfab3ed8867e3ea7a0d49109a7c4e3be35c081c00fcbed3801f3ba.png
../../_images/0a222b199e099392c7bb9fe945ea0591d46ed7e15c2d60fc78b3b2ee581d715d.png